Reverse Dependencies of joblib
The following projects have a declared dependency on joblib:
- 111752 — malware analysis
- 170051277-trab-final-gces — Pacote utilizado para o deploy do trabalho final da disciplina Gerência de Configuração e Evolução de Software (GCES).
- 1NeuronPerceptron-Pypi-mdnazmulislam0087 — its an implimentation of Perceptron
- 2022-2-gces-ifpf — no summary
- A2G — Accurarate amplicon alignment to gene consensus
- a2grunnerp — A2G Runner for Local Workflow
- a2ml — A powerful API to Automate Machine Learning workflows from multiple vendors.
- abdelrahman-obfuscate — Convo: the AI powered chatbot API 2.0
- abdo — kjdfdlsjlkdfl
- abdo-obfuscate — Obfuscate Convo Test
- abdoconvo — dynamic forms updated
- ablean — A CLI aimed at making it easier to run QuantConnect's LEAN engine locally and in the cloud
- AbPyTools — Python package for antibody analysis
- accelerometer — A package to extract meaningful health information from large accelerometer datasets e.g. how much time individuals spend in sleep, sedentary behaviour, walking and moderate intensity physical activity
- accelo — no summary
- Accuinsight — Model life cycle and monitoring library in Accuinsight+
- accutuning-helpers — no summary
- aced-submission — Populate ACED commons from FHIR resources
- acmenewscollectors-pkg-rioatmadja2018 — Python wheel to collect news articles, videos, and images.
- actipy — Python package to process wearable accelerometer data
- AdonisAI — AdonisAI is python library to build your own AI virtual assistant with natural language processing.
- adversarial-labeller — Sklearn compatiable model instance labelling tool to help validate models in situations involving data drift.
- afd-measures — A collection of measures for Approximate Functional Dependencies in relational data.
- aftool — Asdil Fibrizo's tool
- agent-torch — Design, Simulate and Optimize Agent-based Models with Automatic Differentiation.
- agentpy — Agent-based modeling in Python
- aggmap — Jigsaw-like AggMap: A Robust and Explainable Omics Deep Learning Tool
- ai-flow-nightly — An open source framework that bridges big data and AI.
- ai-python — Microsoft AI Python Package
- ai2-kit — no summary
- aichatbot — Python library for building custom AI Chatbot with just one line of code.
- aict-tools — Artificial Intelligence for Imaging Atmospheric Cherenkov Telescopes
- aidapy — AI package for heliophysics
- aidevlog — Templete of AIDevLog
- aimlops-sentiment-model — Sentiment Model for assessing sentiment. It is a classification model package
- aio-overpass — Async client for the Overpass API
- airball — A package for running and managing flybys using REBOUND
- aironsuit — A model wrapper for automatic model design and visualization purposes.
- airontools — Machine learning tools to complement the AIronSuit package.
- aisdc — Tools for the statistical disclosure control of machine learning models
- aithamza-regression-model — Example regression model package from Train In Data.
- AITViewer — Viewing and rendering of sequences of 3D data.
- ak-sw-benchmarker — AK_SW_BENCHMARKER that makes it possible to apply different sizing algorithms and allometric yield prediction models to manually labeled color and depth tree images.
- akerbp.mlpet — Package to prepare well log data for ML projects.
- akerbp.models — Machine Learning Models for Petrophysics
- ale-uy — Tool to perform data cleaning, modeling and visualization in a simple way.
- alexflow — ALEXFlow is a python workflow library built for reproducible complex workflow
- alfabet — A library to estimate bond dissociation energies (BDEs) of organic molecules
- algotom — Data processing algorithms for tomography
- aliopts — A hyperparameter optimization framework
- allowed-ghosts — Daily inspiration for `ALLOWED_HOSTS` values.
- ALP4lib — A module to control Vialux DMDs based on ALP4.X API.It uses the .ddl files provided by Vialux.
- alphacsc — Convolutional dictionary learning for noisy signals.
- alphagens — An event-driven backtesting system
- ambibulb — Python utility controls the color of RC lights based on the dominant color of an image on your screen.
- ambrosia — A Python library for working with A/B tests.
- ambrozia — A Python library for working with A/B tests.
- ames-model — Trained regression model for the ames dataset
- AMLBID — Transparent and Auto-explainable AutoML
- amof — A python package to analyze Molecular Dynamics (MD) trajectories of amorphous Metal-Organic Frameworks (MOFs).
- Amplo — Fully automated end to end machine learning pipeline
- analitica-escalable-pec-2 — Example model package.
- analitica-test — Example model package.
- analysis-tools — Analysis tools for Machine learning projects
- analytics-mesh — Facades and common functions necessary for data science and data engineering workflows
- ananse — A python package to partially automate search term selection and writing search strategies for systematic reviews
- anatomy — Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models
- animal-classification — classification of animals using machine learning models
- anime-pgen — cli-утилита для генерации превью-изображений по данным Шикимори
- anl — ANAC Automated Negotiations League Platform
- ANN-Implementation-AmanGupta0112 — Simple ANN implementation using tensflow Dataset
- anndata — Annotated data.
- annhub-python — Main backend module, which is used for developing web-app logic and deploying AI model.
- annif — Automated subject indexing and classification tool
- annin_dofu — annin_dofu description
- AnnotationPipeline — WUR nematology Annotation Pipeline
- anonymeter — Measure singling out, linkability, and inference risk for synthetic data.
- anscenter — Backend module for ANSCENTER project
- ansible-risk-insight — My package description
- antco — Ant Colony Optimization framework
- apache-beam — Apache Beam SDK for Python
- apache-beam-ai2 — A FORK! for testing with different dill version
- aplusml — Conduct usefulness simulations of ML models embedded in workflows
- apollinaire — Module for helio- and asteroseismic data analysis
- application-gces-2-2022-douglasmonteles — no summary
- approxbayescomp — Approximate Bayesian Computation for actuaries
- approximate-cluster-identities — A package to calculate and visualise approximate cluster identities for a large number of short nucleotide sequences using minimisers.
- apscale — Advanced Pipeline for Simple yet Comprehensive AnaLysEs of DNA metabarcoding data
- aquariumlearning — Aquarium Learning Python Client
- archetype-core-nlp — no summary
- archive-query-log — Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives.
- arcos4py — A python package to detect collective spatio-temporal phenomena.
- arctic-ai — Python package for Arctic Workflow. Mirrors jupyter developments.
- arcus-azureml — A Python library to improve MLOps methodology on Azure Machine Learning
- argueview — ArgueView is a tool for generating text-based presentations for machine-learning predictions and feature-importance based explanation tools. The tool makes use of Toulmin's model of argumentation for structuring the text-based explanations.
- arnold-house-price-regression-model — Example regression model package by Arnold Ighiwiyisi
- artap — Platform for robust design optimization
- artificial-neural-network-model-automation — This repository is for automating artificial neural network model creation with tabular data using Keras framework.
- artus — A geoAI package to train and predict spatial occurences on rasters or georeferenced images.
- arus — Activity Recognition with Ubiquitous Sensing